Applications are open for the James-Watt Scholarships Program 2022. A funded Ph.D. opportunity is available under the James-Watt scholarship program at Heriot-Watt University, Edinburgh, UK, to develop data-driven and data science methods for the decarbonization of energy and water systems.

It is well known that the Built Environment contributes around 40% of all carbon emissions globally, and that, of this, energy and water consumption make up a significant proportion. Many opportunities, therefore, exist to help rectify this position and to create meaningful outcomes to support the decarbonization of the construction sector.

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This research focuses on the underlying physics of heat dissipation and water flow in buildings, and on the analysis of related demand patterns and associated data using Artificial Intelligence (AI) and Machine Learning (ML) techniques. Here, statistical and deep learning methods will be used to identify the optimum method to facilitate analysis so as to allow improved decision-making and define enhanced pathways to Net Zero energy and water usage within buildings. As well as developing and assessing appropriate techniques, the work will draw comparisons with engineering and simulation-based predictions of water and energy consumption. The focus of the research will be on consumption at the building scale, but they envisage a future interface with urban scale demand models.

Benefit From James-Watt Scholarships 

• Scholarships will cover tuition fees and provide an annual stipend of approximately £15,609 for the 36-month duration of the project and are available to applicants from the UK, EU, and overseas.

Eligibility Required For James-Watt Scholarships 

• Applicants should have a first-class honors degree in a relevant subject or a 2.1 honors degree plus master (or equivalent experience).
• Applicants are expected to possess a Master’s degree in Engineering, Statistics, Data Science, or related quantitative fields.

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• An understanding of how to apply deep learning techniques to engineering problems. The experience of working with energy and water demand, and/or working knowledge of building performance patterns would be an advantage.
• It is the intention that the successful candidate will also work closely with high-profile external organizations.
• Coding skills in Python and R are highly desirable.

Applications

• Complete the online application form. Select Ph.D. program Construction and include the project reference, title, and supervisor names on your application. If these details do not get inclusion in your application do not get consideration. Note that applicants may only submit ONE proposal.
• Provide a supporting statement outlining how you would approach the research. And upload this to the research proposal section of the online application. You need to upload a CV, a copy of your degree certificate(s), and relevant transcript(s). Lastly,  You may also upload an academic reference to further support your application.
• You must provide proof of your ability in the English language if English is not your mother tongue. They require an IELTS certificate showing an overall score of at least 6.5. Or, a TOEFL certificate with a minimum score of 90 points.

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Lastly, It is important to visit the official website link found below to access the application form.

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